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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Ontologies, knowledge representation, artificial intelligence - hype or prerequisites for international pHealth
1eHealth Competence Center, University Hospital Regensburg, Regensburg, Germany. bernd.blobel@klinik.uni-regensburg.de
Studies in Health Technology and Informatics
|June 21, 2011
Summary
Electronic health (eHealth) and pervasive health (pHealth) systems require advanced interoperability. Solutions must address ontology coordination and semantic integration for multi-lingual, multi-jurisdictional support.
Area of Science:
- Health Informatics
- Computer Science
- Artificial Intelligence
Background:
- eHealth and pHealth systems face significant interoperability challenges in pervasive and autonomic computing environments.
- Diverse scientific domains within pHealth systems utilize specialized ontologies, complicating data integration.
- Current interoperability solutions often focus on communication protocols, neglecting deeper semantic integration.
Purpose of the Study:
- To advance semantic interoperability in eHealth and pHealth systems beyond communication protocols.
- To address the challenge of ontology coordination across diverse scientific domains.
- To integrate knowledge representation and artificial intelligence for enhanced system compatibility.
Main Methods:
- Investigating ontology coordination strategies for heterogeneous pHealth architectures.
- Developing semantic integration techniques leveraging knowledge representation.
- Applying artificial intelligence principles to facilitate cross-domain data understanding.
Main Results:
- Demonstrated a shift from protocol-based to ontology-based interoperability.
- Successfully integrated knowledge representation and AI for semantic harmonization.
- Achieved comprehensive support for multi-lingual and multi-jurisdictional health data.
Conclusions:
- Semantic interoperability in pHealth requires a paradigm shift towards ontology coordination.
- Knowledge representation and AI are crucial for enabling advanced semantic integration.
- The proposed approach enhances the adaptability and inclusivity of eHealth and pHealth solutions.
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